A study on the fault identification of transformers using the neural network

A neural network method used to identify the different operating states of power transformers has been proposed and established. It is superior to the traditional transformer protective principles and can correctly identify, within a half cycle from the fault inception, the internal faults, magnetizing inrush current state, external faults and switching on the internal faults of a no-load transformer. In addition, this method has broad availability and high fault tolerant ability. A number of simulations have demonstrated its superiority